The Company

Founded in 2014 and listed on the ASX since 2015, our purpose is to enable better internet for Australian homes and businesses, by enabling challenger retail brands to take a larger share of the market, leveraging our Infrastructure-on-Demand platform. Our company employs more than 900 team members and supports over 400,000 customers. With carrier-grade, metro fibre, plus fixed wireless networks across Australia, we provide high performance connectivity services for residential customers, small and medium-sized businesses, and some of Australia’s largest corporates. Since our very beginning, we’ve invested in our own network, recruited a stellar team, and focused on creating reliable and scalable products to ensure we genuinely are ‘super from the ground up’. We are Australia’s modern challenger telco and internet service provider that’s unleashing the unlimited possibilities of the internet. We are all about the experience - we're not just a utility - with a promise to be super from the ground up. We’re more tech than telco, and we deliver quality service across our consumer, business, and wholesale units.

Business Unit Overview

The Strategy and Transformation team develop strategies and implement tools, systems, and processes to drive long-lasting business value and performance. There are five key pillars to the Strategy and Transformation team including: data and analytics; strategy; transformation; PMO; and mergers and acquisitions. If you have a passion for making significant change and solving complex challenges in the telecommunications industry, come join our team.

Role Purpose

The Data and Analytics team is a fast-growing team and is currently seeking an experienced Data Scientist to join our dynamic team. In this role, you will play a pivotal role in leveraging your expertise to derive valuable insights from our data ecosystem. This role offers an exciting opportunity to contribute to the growth and success of our Data and Analytics team by applying your expertise in data science and analytics. If you are passionate about leveraging data to drive business decisions and thrive in a collaborative, innovative environment, we invite you to join our team.

Accountabilities

• Take charge of developing the data science roadmap, build and productionise new models for business consumption as well as supporting the business with automation and insights. Act as a liaison between data analysts and system developers, fostering collaboration with cross-functional teams to comprehend data requirements and design effective data solutions.
• Develop and implement cutting-edge data science models to extract meaningful patterns and trends from complex datasets. Utilise machine learning techniques to create predictive models (e.g. churn propensity) and contribute to the development of innovative analytical solutions.
• Develop and implement automation solution using python and AWS services, including the establishment and execution of automation data flows through APIs.
• Work closely with the data engineering team to build and maintain data pipelines, ETL processes, and data ingestion workflows. Ensure the accuracy, completeness, and reliability of data by performing profiling, cleansing, and transformation processes.
• Monitor and enhance the performance of our data ecosystem, promptly addressing any issues or bottlenecks that may arise. Uphold data security, compliance, and governance standards, including encryption, access controls, and audit trails.
• Collaborate with data analysts to provide them with clean, well-structured data to support their analytical endeavours.
• Keep up-to-date with the latest advancements in data science and analytics, incorporating emerging technologies and best practices to continually improve our data science processes.

Key Deliverables

• Conduct data profiling, cleansing, and transformation to ensure data accuracy and reliability.
• Create predictive models using machine learning techniques to support decision-making.
• Optimize and monitor the performance of the data ecosystem, addressing issues promptly.
• Collaborate with data engineers to design and implement scalable data solutions.
• Provide clean and well-structured data to support the analytical needs of data analysts.
• Lead the development of the data science roadmap, execution timeline, and system strategy.
• Act as a conduit between data analysts and system developers, ensuring effective collaboration.
• Stay abreast of advancements in data science and analytics to continuously improve processes.
• Contribute to the growth and success of the Data and Analytics team by applying expertise in data science.

Qualifications and Experience

• Bachelor’s degree in computer science, software engineering, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Data Scientist, with a strong focus on machine learning and productionising models on cloud infrastructure.
• Proficiency in AWS services including Redshift, SageMaker, Lambda, S3 and SQS.
• Strong SQL skills for data querying, manipulation, and optimization.
• Proficiency in Python for scripting and automation of data processes and experience with distributed computing frameworks such as Apache Spark/Hadoop (Proficiency in Scala is a plus point).
• General DevOps related knowledge and Knowledge of containerization technologies such as Docker and basic Network Engineering skills. Experience with Kubernetes is a plus.
• Experience working with large volumes of data and complex data models.
• Knowledge of Data Governance strategies, frameworks, and tooling.
• Proficiency with Data orchestration tools such as Apache Airflow, Dagster, Prefect, Luigi, etc.
• Experience with Git and coding in collaborative environments
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Experience with Telecom industry preferred.

Benefits

• Great Remuneration 💰
• Fleixble Work Arrangements 🏠
• Performance Bonus 🏦
• Private Health Insurance 🏥
• Paid Time Off 🌴
• Accelerated Career Growth 📚
• Latest Tech Equipment 💻
• International Exposure 🚀
• Exciting Company Events 🥳